Father's post-natal depression linked to emotional stress in teen girls: Study

Agencies
December 27, 2018

London, Dec 27: Post-natal depression in fathers is linked to emotional problems for their teenage daughters, a study has found.

Almost one in 20 new fathers suffered depression in the weeks after their child was born, according to the study published in the journal JAMA Psychiatry.

The study, based on a sample of over 3,000 families in Bristol, UK, also identified a link between post-natal depression in men and depression in their daughters as they reached adulthood.

At 18, girls whose fathers had experienced depression after their birth were themselves at greater risk of the condition, said Professor Paul Ramchandani from the University of Cambridge in the UK.

The "small but significant" increased risk applied only to daughters; sons were not affected, said Ramchandani.

One reason for this "handing on" effect could be that post-natal depression in fathers is sometimes linked with an increased level of maternal depression, researchers said.

This might mean that family life is more disrupted for everyone with higher levels of stress for all, researchers said.

It may also be that the having one or both parents with depression affects the way in which parents interact with their children, they said.

It is unclear why girls may be more affected at this age, according to the study.

There may be links to specific aspects of father-daughter relationships as girls go through adolescence, the researchers suggest.

The findings are important because they have implications for perinatal services, which have traditionally considered post-natal depression to be a potential problem for mothers only.

They highlight the importance of recognising and treating depression in fathers during the postnatal period, and call on health professionals to consider both parents when one reports depression.

"Research from this study of families in Bristol has already shown that fathers can experience depression in the postnatal period as well as mothers," Ramchandani said.

"What is new in this paper is that we were able to follow up the young people from birth through to the age of 18, when they were interviewed about their own experience of depression," Ramchandani said.

Those young people whose fathers had been depressed back when they were born had an increased risk of depression at age 18 years, researchers said.

It appears that depression in fathers is linked with an increased level of stress in the whole family, and that this might be one way in which offspring may be affected, they said.

The findings highlight the importance of providing appropriate help to fathers, as well as mothers, who may experience depression.

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Agencies
April 15,2020

Dear parents, if you want your children to have proper sleep, read this carefully. Joining a growing list of studies that tell parents to shun devices at bed-time, researchers say that children who use devices and decide what time they go to sleep, achieve less sleep and feel more sleepier the following day than their peers.

The study of children in this age-group (aged 11 to 13 years), published in the New Zealand Medical Journal, found most (72 per cent) of the 163 students interviewed by University of Otago researchers achieved recommended guidelines of an average 9 to 11 hours sleep nightly over one week.

"But that also means that almost one in four students did not achieve sleep within these guidelines, which highlights an area for improvement," said study researcher Kate Ford.

However, consistent with previous research in 15 to 17-year-old New Zealanders, the study results show less sleep on the nights where devices are used in the hour before bed.

According to the researchers, students who used devices before going to sleep were also more likely to report that they felt sleepy the following morning. Watching television before bed had no significant effect on sleep length.

There were also some interesting observations over the weekends where students went to bed later but woke later achieving similar sleep length to the school days, the researchers said.

A small group of students (six per cent) who reported less than seven hours of sleep, including a small number reporting not sleeping at all, according to the study,

Therefore, while the average across the week of 72 per cent of students reporting adequate sleep is reassuring, it is far from the goal of every child achieving sleep within the recommended guidelines," Ford said.

Dr Paul Kelly, head of the Sleep Health Service at Canterbury District Health Board, supervised the study and explained that the foundations for good health are based on proper nutrition, regular exercise and good sleep quality.

Sleep quality is often overlooked as a contributory factor to poor health.

"The study findings suggest the need for parental guidance around bedtimings and moderation of the use and availability of electronic devices before bed," Kelly said.

"Respect and protect your sleep, as good daytime functioning is reliant on adequate sleep," Kelly added.

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Agencies
April 14,2020

There is no evidence that the Bacille Calmette-Guerin (BCG) vaccine, which is primarily used against tuberculosis, protects people against infection with the novel coronavirus, the World Health Organization (WHO) said.

The WHO therefore didn't recommend BCG vaccination for the prevention of COVID-19 in the absence of evidence, according to its daily situation report on Monday, Xinhua news agency reported.

"There is experimental evidence from both animal and human studies that the BCG vaccine has non-specific effects on the immune system. These effects have not been well characterized and their clinical relevance remains unknown," WHO stated.

Two clinical trials addressing the question are underway, and WHO will evaluate the evidence when it is available, it noted.

BCG vaccination prevents severe forms of tuberculosis in children and diversion of local supplies may result in an increase of disease and deaths from the tuberculosis, it warned.

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News Network
February 26,2020

New York, Feb 26:  A new wearable sensor that works in conjunction with artificial intelligence (AI) technology could help doctors remotely detect critical changes in heart failure patients days before a health crisis occurs, says a study.

The researchers said the system could eventually help avert up to one in three heart failure readmissions in the weeks following initial discharge from the hospital and help patients sustain a better quality of life.

"This study shows that we can accurately predict the likelihood of hospitalisation for heart failure deterioration well before doctors and patients know that something is wrong," says the study's lead author Josef Stehlik from University of Utah in the US.

"Being able to readily detect changes in the heart sufficiently early will allow physicians to initiate prompt interventions that could prevent rehospitalisation and stave off worsening heart failure," Stehlik added.

According to the researchers, even if patients survive, they have poor functional capacity, poor exercise tolerance and low quality of life after hospitalisations.

"This patch, this new diagnostic tool, could potentially help us prevent hospitalizations and decline in patient status," Stehlik said.

For the findings, published in the journal Circulation: Heart Failure, the researchers followed 100 heart failure patients, average age 68, who were diagnosed and treated at four veterans administration (VA) hospitals in Utah, Texas, California, and Florida.

After discharge, participants wore an adhesive sensor patch on their chests 24 hours a day for up to three months.

The sensor monitored continuous electrocardiogram (ECG) and motion of each subject.

This information was transmitted from the sensor via Bluetooth to a smartphone and then passed on to an analytics platform, developed by PhysIQ, on a secure server, which derived heart rate, heart rhythm, respiratory rate, walking, sleep, body posture and other normal activities.

Using artificial intelligence, the analytics established a normal baseline for each patient. When the data deviated from normal, the platform generated an indication that the patient's heart failure was getting worse.

Overall, the system accurately predicted the impending need for hospitalization more than 80 per cent of the time.

On average, this prediction occurred 10.4 days before a readmission took place (median 6.5 days), the study said.

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